Mac mini (2024)
Geekbench AI Score
4839
Single Precision Score
7905
Half Precision Score
6361
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | deryk527 |
| Upload Date | March 30 2025 03:51 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E247) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
3298
613.2 IPS |
|
|
Image Classification (Q)
|
96% |
2308
431.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3130
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3578
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9878
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19236
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16578
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2726
217.3 IPS |
|
|
Face Detection (SP)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7529
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
4440
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8690
67.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14698
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10286
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21620
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38482
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31770
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7235
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4956
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5550
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5458
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4380
75.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7470
129.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7411
128.1 IPS |
